Longevity > Introduction to Longevity

Introduction to Longevity

We live in the age of data. Rapid advancement in data analysis skills transform every aspect of our lives and our health.

Hence it becomes increasingly possible to attain a clear understanding of the individual biological mechanisms that take place on a cellular level as we age. A rapidly growing number of tools, preventive measures and therapies for aging have been developed. Longevity at sweet skin wants to prevent rather than just cure after the fact. This perspective starkly contrasts with traditional healthcare, where aging is considered inevitable and individual diseases and its symptoms are being treated. Longevity medicine and research is complementing and improving our proven tools as doctors and dermatologists, enhancing our capabilities to be our patients counsel for longer healthier lifespans.

Towards individual preventive medicine

The fact that our cells age is a major factor in the development of chronic diseases such as various forms of cancer, parkinson, diabetes etc. Longevity research has a key hypothesis: By preventing aging, we can also prevent the onset or lower the gravity of various chronic diseases.

In other words: solving the mystery of aging would also benefit our overall health by treating the root cause of aging rather than individual diseases. Armed with this knowledge, we are then able to slow down our biological aging process and thus the progression of age-related disability and diseases based on individual level biomarkers. To put it differently: we are increasingly able to influence our biological age.

Our biological age

Numerous tools for early diagnostics and (root cause) prevention of diseases have been developed.

In this context the term “biological age” has been coined. Biological age differs from chronological age. While chronological age is simply determined by the number of years since a person was born, biological age refers to a person's actual functional age using various biological parameters. Especially in the preventive medicine context, the biological age is much more useful but also harder to assess until recently.

Measuring our biological age – “Age clocks”

The biological age is measured in an ever-growing number of biomarkers in an individual using powerful artificial intelligence and machine learning tools. At sweet skin we refer to groups of biomarkers as “age clocks”. Age clocks are based on large volumes of actual clinical data and use deep learning and AI to measure an individual’s personal state of aging. Examples are deep learning-based photo aging clocks, blood age clocks or also epigenetic profiles.

The biological age can be influenced by lifestyle factors such as nutritional balance, activity level or preventive measures such as for example supplementation or topical applications influencing the biomarkers of aging. With the right lifestyle changes it is possible to achieve a younger biological age than the chronological age. This is what we call “personal longevity paths” that we are developing for our patients to influence and measure both the biological age as a whole as well as the skin age.

Sources

  • The Lancet: Longevity medicine: upskilling the physicians of tomorrow

  • Statista: Average life expectancy in industrial and developing countries for those born in 2021

  • NCBI: The Biology of Senescence

  • NCBI: Medicine, ageing and human longevity

  • Springer: The Geroscience Hypothesis: Is It Possible to Change the Rate of Aging?

  • PubMed: Deep Aging Clocks: The Emergence of AI-Based Biomarkers of Aging and Longevity

  • Aging Us: Deep learning algorithms for development of non-invasive visual biomarkers of aging

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